Who needs treatment? A nationwide psychiatric case identification study

Area of Science:

• Psychiatric Epidemiology
• Mental Health Research
• Public Health Surveys

Background:

• Accurate 'case' identification is crucial for psychiatric epidemiology.
• Cross-sectional surveys face challenges in defining and validating psychiatric cases.
• Previous methods may overestimate mental health impairment.

Purpose of the Study:

• To address the issue of 'case' identification in psychiatric epidemiology.
• To refine criteria for identifying psychiatric cases in a large-scale survey.
• To determine the prevalence of probable and definite psychiatric cases in Greece.

Main Methods:

• Conducted a nationwide cross-sectional home survey in Greece with 4,292 respondents.
• Assessed mental health status using the CES-D and Langner scales.
• Selected and applied 9 clinical and help-seeking criteria to identify true psychiatric cases.

Main Results:

• An initial screening indicated a high proportion (29%) of respondents with potential mental impairment.
• Application of refined criteria significantly reduced the identified case load.
• Probable psychiatric cases constituted 7.2% and definite cases 8.0% of the sample.

Conclusions:

• The study highlights the importance of rigorous criteria for accurate psychiatric case identification.
• Refined case-finding methods provide a more precise estimate of mental health needs.
• This approach improves the validity of psychiatric epidemiological data.